Distributions: s/IDistribution/IUnivariateDistribution/

src/FSharp/Distributions.fs

@@ -36,7 +36,7 @@ open MathNet.Numerics.Random
 [<CompilationRepresentation(CompilationRepresentationFlags.ModuleSuffix)>]
 module Distributions =
 
-    let withRandom random (dist:#IDistribution) =
+    let withRandom random (dist:#IUnivariateDistribution) =
         dist.RandomSource <- random
         dist
 

src/Numerics/Distributions/IContinuousDistribution.cs

@@ -35,7 +35,7 @@ namespace MathNet.Numerics.Distributions
     /// <summary>
     /// The interface for continuous univariate distributions.
     /// </summary>
-    public interface IContinuousDistribution : IDistribution
+    public interface IContinuousDistribution : IUnivariateDistribution
     {
         /// <summary>
         /// Gets the mode of the distribution.

src/Numerics/Distributions/IDiscreteDistribution.cs

@@ -35,7 +35,7 @@ namespace MathNet.Numerics.Distributions
     /// <summary>
     /// The interface for discrete univariate distributions.
     /// </summary>
-    public interface IDiscreteDistribution : IDistribution
+    public interface IDiscreteDistribution : IUnivariateDistribution
     {
         /// <summary>
         /// Gets the mode of the distribution.

src/Numerics/Distributions/IDistribution.cs → src/Numerics/Distributions/IUnivariateDistribution.cs

@@ -1,4 +1,4 @@
-// <copyright file="IDistribution.cs" company="Math.NET">
+// <copyright file="IUnivariateDistribution.cs" company="Math.NET">
 // Math.NET Numerics, part of the Math.NET Project
 // http://numerics.mathdotnet.com
 // http://github.com/mathnet/mathnet-numerics
@@ -35,7 +35,7 @@ namespace MathNet.Numerics.Distributions
     /// <summary>
     /// The interface for univariate distributions.
     /// </summary>
-    public interface IDistribution
+    public interface IUnivariateDistribution
     {
         /// <summary>
         /// Gets or sets the random number generator which is used to generate random samples from the distribution.

src/Numerics/Numerics.csproj

@@ -394,7 +394,7 @@
     <Compile Include="Permutation.cs" />
     <Compile Include="Distributions\IContinuousDistribution.cs" />
     <Compile Include="Distributions\IDiscreteDistribution.cs" />
-    <Compile Include="Distributions\IDistribution.cs" />
+    <Compile Include="Distributions\IUnivariateDistribution.cs" />
     <Compile Include="IntegralTransforms\Algorithms\DiscreteHartleyTransform.Naive.cs" />
     <Compile Include="IntegralTransforms\Algorithms\DiscreteHartleyTransform.Options.cs" />
     <Compile Include="IntegralTransforms\HartleyOptions.cs" />

src/UnitTests/DistributionTests/CommonDistributionTests.cs

@@ -240,7 +240,7 @@ namespace MathNet.Numerics.UnitTests.DistributionTests
         /// <param name="delta">The error probability we are willing to tolerate.</param>
         /// <param name="s">The samples to use for testing.</param>
         /// <param name="dist">The distribution we are testing.</param>
-        public static void VapnikChervonenkisTest(double epsilon, double delta, IEnumerable<double> s, IDistribution dist)
+        public static void VapnikChervonenkisTest(double epsilon, double delta, IEnumerable<double> s, IUnivariateDistribution dist)
         {
             // Using VC-dimension, we can bound the probability of making an error when estimating empirical probability
             // distributions. We are using Theorem 2.41 in "All Of Nonparametric Statistics".